张强, 李嘉锋, 卓力. 车辆识别技术综述[J]. 北京工业大学学报, 2018, 44(3): 382-392. DOI: 10.11936/bjutxb2017030038
    引用本文: 张强, 李嘉锋, 卓力. 车辆识别技术综述[J]. 北京工业大学学报, 2018, 44(3): 382-392. DOI: 10.11936/bjutxb2017030038
    ZHANG Qiang, LI Jiafeng, ZHUO Li. Review of Vehicle Recognition Technology[J]. Journal of Beijing University of Technology, 2018, 44(3): 382-392. DOI: 10.11936/bjutxb2017030038
    Citation: ZHANG Qiang, LI Jiafeng, ZHUO Li. Review of Vehicle Recognition Technology[J]. Journal of Beijing University of Technology, 2018, 44(3): 382-392. DOI: 10.11936/bjutxb2017030038

    车辆识别技术综述

    Review of Vehicle Recognition Technology

    • 摘要: 车辆识别是智能交通系统的重要组成部分,也是交通管控、无人驾驶、疑犯追踪、行为分析等其他智能任务的基础.首先对车辆识别研究中存在的困难与挑战进行了阐述,在此基础上详细综述了基于浅层学习和深度学习的车辆识别前沿技术研究进展,最后进行了总结与分析,探讨了车辆识别领域目前仍需解决的问题和未来的研究方向.

       

      Abstract: Vehicle recognition is one of the most important parts of intelligent transportation system. In addition, it is also the basis of other high-level intelligent tasks such as traffic management, self-driving, suspect tracing and behavior analysis. Firstly the difficulties and challenges in vehicle recognition researches were presented in this paper. On the basis of this, a detailed summary in the advanced technology development of vehicle recognition researches of shallow learning and deep learning was given. Finally the problems be solved were analyzed, and the future research direction in vehicle recognition researches field was proposed.

       

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